/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/externals/loky/process_executor.py:752: UserWarning: A worker stopped while some jobs were given to the executor. This can be caused by a too short worker timeout or by a memory leak.
warnings.warn(
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:425: FitFailedWarning:
20 fits failed out of a total of 40.
The score on these train-test partitions for these parameters will be set to nan.
If these failures are not expected, you can try to debug them by setting error_score='raise'.
Below are more details about the failures:
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f3978d8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f3978fe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f3978ff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f3978fe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f3978fe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f3978fe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f3978f995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f3978d7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f399d57ca4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fa8a0b8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fa8a0de0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fa8a0df3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fa8a0de4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fa8a0de70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fa8a0de91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fa8a0d995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fa8a0b7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fa8c5388a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f6e6a78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f6e6a9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f6e6a9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f6e6a9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f6e6a9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f6e6a9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f6e6a9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f6e6a77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f6e8ef97a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fb570d8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fb570fe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fb570ff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fb570fe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fb570fe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fb570fe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fb570f995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fb570d7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fb5955e7a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f977e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f977e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f977e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f977e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f977e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f977e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f977e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f977e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f97a01b5a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fc0f0d8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fc0f0fe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fc0f0ff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fc0f0fe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fc0f0fe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fc0f0fe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fc0f0f995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fc0f0d7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fc100d50a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fb5c6f8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fb5c71e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fb5c71f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fb5c71e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fb5c71e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fb5c71e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fb5c71995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fb5c6f7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fb5d95dba4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f58fcf8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f58fd1e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f58fd1f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f58fd1e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f58fd1e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f58fd1e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f58fd1995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f58fcf7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f590bb41a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f3978d8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f3978fe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f3978ff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f3978fe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f3978fe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f3978fe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f3978f995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f3978d7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f399d57ca4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fb5c6f8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fb5c71e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fb5c71f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fb5c71e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fb5c71e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fb5c71e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fb5c71995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fb5c6f7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fb5d95dba4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fa8a0b8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fa8a0de0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fa8a0df3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fa8a0de4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fa8a0de70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fa8a0de91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fa8a0d995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fa8a0b7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fa8c5388a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [19:25:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f6e6a78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f6e6a9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f6e6a9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f6e6a9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f6e6a9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f6e6a9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f6e6a9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f6e6a77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f6e8ef97a4a]
warnings.warn(some_fits_failed_message, FitFailedWarning)
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_search.py:979: UserWarning: One or more of the test scores are non-finite: [0.76538169 0.76549475 nan nan 0.76538169 0.76549475
nan nan]
warnings.warn(